By Despoina Papadopoulou
This booklet argues in favour of cross-linguistic version in sentence processing by means of offering empirical facts from ambiguity solution in Greek as L1 and L2. it really is maintained that during hugely inflected languages, like Greek, preliminary parsing judgements are decided through the interplay of morphological and lexical cues instead of through common parsing ideas.
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Additional info for Cross-linguistic Variation in Sentence Processing: Evidence From R C Attachment Preferences in Greek (Studies in Theoretical Psycholinguistics)
What distinguishes Constraint Satisfaction models from Tuning, for example, is that they allow for non-syntactic information to play a dominant role in parsing and not only guide the processor to choose one analysis but also to initially propose one analysis. Thus, Constraint Satisfaction models question the very existence of an autonomous syntactic processor. Syntactic information is just another type of information that affects sentence processing as lexical or discourse information does. , 1994a: 697).
Despite the different formulations of the two proposals they both emphasise the importance of cross-linguistic research on sentence processing. In what follows, I will discuss ‘parameterised’ accounts23 of sentence processing in the light of findings from attachment ambiguities. 1. The Modifier-straddling strategy The Modifier-straddling strategy has been proposed by Cuetos and Mitchell (1988) and has been motivated by the divergent parsing routines employed by Spanish and English readers to parse ambiguous RCs in sentences like (2) and (11).
Recency requires new elements to be attached to the most recently built structures and is similar to locality principles postulated by other parsing theories. , 1996a: 26). In (15)–(17), Recency predicts low-attachment preferences. On the other hand, according to Predicate Proximity, modifying constituents are preferably attached to a verb argument, under the assumption that incoming material should be attached as close as possible to the IP node, and that phrases associated with the main predicate are important in sentence comprehension.